# Generated from rabbit-slide-kou-scipy-japan-2019-2019.4.23.2.gem by gem2rpm -*- rpm-spec -*-
%global gem_name rabbit-slide-kou-scipy-japan-2019

Name: rubygem-%{gem_name}
Version: 2019.4.23.2
Release: 1%{?dist}
Summary: Apache Arrow - A cross-language development platform for in-memory data
License: CC-BY-SA-4.0
URL: https://slide.rabbit-shocker.org/authors/kou/scipy-japan-2019/
Source0: https://rubygems.org/gems/%{gem_name}-%{version}.gem
BuildRequires: ruby(release)
BuildRequires: rubygems-devel
BuildRequires: ruby
BuildArch: noarch

%description
Apache Arrow is the future for data processing systems. This talk
describes how to solve data sharing overhead in data processing system
such as Spark and PySpark. This talk also describes how to accelerate
computation against your large data by Apache Arrow.


%package doc
Summary: Documentation for %{name}
Requires: %{name} = %{version}-%{release}
BuildArch: noarch

%description doc
Documentation for %{name}.

%prep
%setup -q -n %{gem_name}-%{version}

%build
# Create the gem as gem install only works on a gem file
gem build ../%{gem_name}-%{version}.gemspec

# %%gem_install compiles any C extensions and installs the gem into ./%%gem_dir
# by default, so that we can move it into the buildroot in %%install
%gem_install

%install
mkdir -p %{buildroot}%{gem_dir}
cp -a .%{gem_dir}/* \
        %{buildroot}%{gem_dir}/



%check
pushd .%{gem_instdir}
# Run the test suite.
popd

%files
%dir %{gem_instdir}
%{gem_instdir}/.rabbit
%{gem_instdir}/apache-arrow.rab
%{gem_instdir}/config.yaml
%{gem_instdir}/images
%{gem_instdir}/pdf
%{gem_instdir}/theme.rb
%exclude %{gem_cache}
%{gem_spec}

%files doc
%doc %{gem_docdir}
%doc %{gem_instdir}/README.rd
%{gem_instdir}/Rakefile

%changelog
* Tue Aug 24 2021 mockbuilder - 2019.4.23.2-1
- Initial package